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* Fix 'between organizations' filter functionality
* Implement unlimited results for single project matching and add 'show more' with download options
* Feature: Add Excel export option
* Add 'Only matches where country is identical' checkbox for multi-project matching
* Add 'Only matches between filtered organizations' checkbox for multi-project matching
* Remove nonsensical keyword search results in multi-project matching
* Fix duplicate countries in filters by ISO code
* Implement threshold for single-project matching and handle 0% match results
* Feature: Add a landing page for displaying projects based on filters without matching

.gitattributes

@@ -1,36 +1,36 @@
-*.7z filter=lfs diff=lfs merge=lfs -text
-*.arrow filter=lfs diff=lfs merge=lfs -text
-*.bin filter=lfs diff=lfs merge=lfs -text
-*.bz2 filter=lfs diff=lfs merge=lfs -text
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-*.ftz filter=lfs diff=lfs merge=lfs -text
-*.gz filter=lfs diff=lfs merge=lfs -text
-*.h5 filter=lfs diff=lfs merge=lfs -text
-*.joblib filter=lfs diff=lfs merge=lfs -text
-*.lfs.* filter=lfs diff=lfs merge=lfs -text
-*.mlmodel filter=lfs diff=lfs merge=lfs -text
-*.model filter=lfs diff=lfs merge=lfs -text
-*.msgpack filter=lfs diff=lfs merge=lfs -text
-*.npy filter=lfs diff=lfs merge=lfs -text
-*.npz filter=lfs diff=lfs merge=lfs -text
-*.onnx filter=lfs diff=lfs merge=lfs -text
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-*.pb filter=lfs diff=lfs merge=lfs -text
-*.pickle filter=lfs diff=lfs merge=lfs -text
-*.pkl filter=lfs diff=lfs merge=lfs -text
-*.pt filter=lfs diff=lfs merge=lfs -text 
-*.pth filter=lfs diff=lfs merge=lfs -text
-*.rar filter=lfs diff=lfs merge=lfs -text
-*.safetensors filter=lfs diff=lfs merge=lfs -text
-saved_model/**/* filter=lfs diff=lfs merge=lfs -text
-*.tar.* filter=lfs diff=lfs merge=lfs -text
-*.tar filter=lfs diff=lfs merge=lfs -text
-*.tflite filter=lfs diff=lfs merge=lfs -text
-*.tgz filter=lfs diff=lfs merge=lfs -text
-*.wasm filter=lfs diff=lfs merge=lfs -text
-*.xz filter=lfs diff=lfs merge=lfs -text
-*.zip filter=lfs diff=lfs merge=lfs -text
-*.zst filter=lfs diff=lfs merge=lfs -text
-*tfevents* filter=lfs diff=lfs merge=lfs -text
-*.csv filter=lfs diff=lfs merge=lfs -text
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text 
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+*.csv filter=lfs diff=lfs merge=lfs -text

.streamlit/config.toml

@@ -1,14 +1,14 @@
-[global]
-
-[server]
-headless = true
-
-[client]
-initialSidebarState = "expanded"
-
-[theme]
-primaryColor="#c30f08"
-backgroundColor="#ffffff"
-secondaryBackgroundColor="#eceded"
-textColor="#000000"
+[global]
+
+[server]
+headless = true
+
+[client]
+initialSidebarState = "expanded"
+
+[theme]
+primaryColor="#c30f08"
+backgroundColor="#ffffff"
+secondaryBackgroundColor="#eceded"
+textColor="#000000"
 font="sans serif"

README.md

@@ -1,13 +1,13 @@
----
-title: Development Banks Collaboration Analyzer
-emoji: 🗃️
-colorFrom: purple
-colorTo: green
-sdk: streamlit
-sdk_version: 1.32.2
-app_file: app.py
-pinned: false
-license: mit
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+---
+title: Development Banks Collaboration Analyzer
+emoji: 🐢
+colorFrom: pink
+colorTo: red
+sdk: streamlit
+sdk_version: 1.32.2
+app_file: app.py
+pinned: true
+license: mit
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -1,24 +1,27 @@
-import streamlit as st
-from modules.navbar import show_navbar
-
-# PAGE CONFIG
-st.set_page_config(
-    page_title='Development Banks Collaboration Analyzer',
-    page_icon='📋',
-    layout='wide',
-)
-
-# reduce space to the top
-st.markdown("""
-        <style>
-            .block-container {
-                    padding-top: 1rem;
-                    padding-bottom: 4rem;
-                    padding-left: 3rem;
-                    padding-right: 3rem;
-                }
-        </style>
-        """, unsafe_allow_html=True)
-
-# NAVBAR
-navbar = show_navbar()
+import streamlit as st
+
+
+# PAGE CONFIG
+st.set_page_config(
+    page_title='Development Banks Collaboration Analyzer',
+    page_icon='📋',
+    layout='wide',
+)
+
+from modules.navbar import show_navbar
+
+
+# reduce space to the top
+st.markdown("""
+        <style>
+            .block-container {
+                    padding-top: 1rem;
+                    padding-bottom: 4rem;
+                    padding-left: 3rem;
+                    padding-right: 3rem;
+                }
+        </style>
+        """, unsafe_allow_html=True)
+
+# NAVBAR
+navbar = show_navbar()

app_matching_page.py

@@ -1,25 +1,21 @@
-"""
-Dispaly matching pages
-"""
-
-################
-# DEPENDENCIES #
-################
 import streamlit as st
 import pandas as pd
+import io
+import xlsxwriter
 from scipy.sparse import load_npz
 import pickle
 from sentence_transformers import SentenceTransformer
 from modules.multimatch_result_table import show_multi_table
 from modules.singlematch_result_table import show_single_table
+from modules.allprojects_result_table import show_all_projects_table
 from functions.filter_multi_project_matching import filter_multi
 from functions.filter_single_project_matching import filter_single
+from functions.filter_all_project_matching import filter_all_projects
 from functions.multi_project_matching import calc_multi_matches
 from functions.same_country_filter import same_country_filter
 from functions.single_project_matching import find_similar
 import gc
 
-
 # Catch DATA
 # Load Similarity matrix
 @st.cache_data
@@ -28,22 +24,26 @@ def load_sim_matrix():
     !!! Similarities when matches between same orgas are allowed
     """
     loaded_matrix = load_npz("src/extended_similarities.npz")
-
     return loaded_matrix
 
 # Load Non Similar Orga Matrix
-# 
 def load_nonsameorga_sim_matrix():
     """
     !!! Similarities when matches between same orgas are NOT allowed
     """
     loaded_matrix = load_npz("src/extended_similarities_nonsimorga.npz")
-
     return loaded_matrix
 
 # Load Projects DFs
 @st.cache_data
 def load_projects():
+    def fix_faulty_descriptions(description): # In some BMZ projects there are duplicate descriptions 
+        if description and ';' in description:
+            parts = description.split(';')
+            if len(parts) == 2 and parts[0].strip() == parts[1].strip():
+                return parts[0].strip()
+        return description
+
     orgas_df = pd.read_csv("src/projects/project_orgas.csv")
     region_df = pd.read_csv("src/projects/project_region.csv")
     sector_df = pd.read_csv("src/projects/project_sector.csv")
@@ -55,11 +55,55 @@ def load_projects():
     projects_df = pd.merge(projects_df, status_df, on='iati_id', how='inner')
     projects_df = pd.merge(projects_df, texts_df, on='iati_id', how='inner')
 
+
+
+    # Add regions (should have been done in the preprocessing instead of here, so is just a quick fix to be able to add the region filter)
+    region_lookup_df = pd.read_csv('src/codelists/regions.csv', usecols=['alpha-2', 'region', 'sub-region'])
+
+    projects_df['country_code'] = projects_df['country'].str.replace(';', '').str.strip()
+    # Replace empty values in the 'country_code' column with 'Unknown'
+    projects_df['country_code'] = projects_df['country_code'].fillna('Unknown')
+
+    region_lookup_df['alpha-2'] = region_lookup_df['alpha-2'].str.strip()
+    projects_df = pd.merge(projects_df, region_lookup_df[['alpha-2', 'region', 'sub-region']], left_on='country_code', right_on='alpha-2', how='left')
+    
+    projects_df.rename(columns={'region': 'continent', 'sub-region': 'region'}, inplace=True)
+    projects_df['continent'] = projects_df['continent'].fillna('Unknown')
+    projects_df['region'] = projects_df['region'].fillna('Unknown')
+
+
+    # Fix faulty descriptions for BMZ projects
+    bmz_mask = projects_df['orga_abbreviation'].str.lower() == 'bmz'
+    projects_df.loc[bmz_mask, 'description_main'] = projects_df.loc[bmz_mask, 'description_main'].apply(fix_faulty_descriptions)
+
+    # Add Project Link column
+    projects_df['Project Link'] = projects_df['iati_id'].apply(
+        lambda x: f'https://d-portal.org/ctrack.html#view=act&aid={x}'
+    )
+
+    # Create necessary columns for consistency
+    projects_df['crs_3_code_list'] = projects_df['crs_3_name'].apply(
+        lambda x: [""] if pd.isna(x) else (str(x).split(";")[:-1] if str(x).endswith(";") else str(x).split(";"))
+    )
+    projects_df['crs_5_code_list'] = projects_df['crs_5_name'].apply(
+        lambda x: [""] if pd.isna(x) else (str(x).split(";")[:-1] if str(x).endswith(";") else str(x).split(";"))
+    )
+    projects_df['sdg_list'] = projects_df['sgd_pred_code'].apply(
+        lambda x: [""] if pd.isna(x) else (str(x).split(";")[:-1] if str(x).endswith(";") else str(x).split(";"))
+    )
+    
+    # Ensure country_flag is set to None if country_name is missing or "NA"
+    projects_df['country_flag'] = projects_df.apply(
+        lambda row: None if pd.isna(row['country_name']) or row['country_name'] == "NA" else row['country_flag'],
+        axis=1
+    )
+
     iati_search_list = [f'{row.iati_id}' for row in projects_df.itertuples()]
     title_search_list = [f'{row.title_main} ({row.orga_abbreviation.upper()})' for row in projects_df.itertuples()]
 
     return projects_df, iati_search_list, title_search_list
 
+
 # Load CRS 3 data
 @st.cache_data
 def getCRS3():
@@ -68,7 +112,6 @@ def getCRS3():
     CRS3_CODES = crs3_df['code'].tolist()
     CRS3_NAME = crs3_df['name'].tolist()
     CRS3_MERGED = {f"{name} - {code}": code for name, code in zip(CRS3_NAME, CRS3_CODES)}
-
     return CRS3_MERGED
 
 # Load CRS 5 data
@@ -79,7 +122,6 @@ def getCRS5():
     CRS5_CODES = crs5_df['code'].tolist()
     CRS5_NAME = crs5_df['name'].tolist()
     CRS5_MERGED = {code: [f"{name} - {code}"] for name, code in zip(CRS5_NAME, CRS5_CODES)}
-
     return CRS5_MERGED
 
 # Load SDG data
@@ -88,20 +130,60 @@ def getSDG():
     # Read in SDG CODELISTS
     sdg_df = pd.read_csv('src/codelists/sdg_goals.csv')
     SDG_NAMES = sdg_df['name'].tolist()
-
     return SDG_NAMES
 
-# Load Country Data
 @st.cache_data
 def getCountry():
     # Read in countries from codelist
     country_df = pd.read_csv('src/codelists/country_codes_ISO3166-1alpha-2.csv')
-    COUNTRY_CODES = country_df['Alpha-2 code'].tolist()
-    COUNTRY_NAMES = country_df['Country'].tolist()
+    
+    # Read in regions from codelist, keeping only the relevant columns
+    region_lookup_df = pd.read_csv('src/codelists/regions.csv', usecols=['alpha-2', 'region', 'sub-region'])
+    
+    # Strip quotes from the 'Alpha-2 code' column in country_df
+    country_df['Alpha-2 code'] = country_df['Alpha-2 code'].str.replace('"', '').str.strip()
+    
+    # Ensure no leading/trailing spaces in the 'alpha-2' column in region_lookup_df
+    region_lookup_df['alpha-2'] = region_lookup_df['alpha-2'].str.strip()
+    
+    # Merge country and region dataframes on 'Alpha-2 code' from country_df and 'alpha-2' from region_lookup_df
+    merged_df = pd.merge(country_df, region_lookup_df, how='left', left_on='Alpha-2 code', right_on='alpha-2')
+    
+    # Handle any missing regions or sub-regions
+    merged_df['region'] = merged_df['region'].fillna('Unknown')
+    merged_df['sub-region'] = merged_df['sub-region'].fillna('Unknown')
+    
+    # Extract necessary columns as lists
+    COUNTRY_CODES = merged_df['Alpha-2 code'].tolist()
+    COUNTRY_NAMES = merged_df['Country'].tolist()
+    REGIONS = merged_df['region'].tolist()
+    SUB_REGIONS = merged_df['sub-region'].tolist()
+    
+    # Create the original COUNTRY_OPTION_LIST without regions
+    COUNTRY_OPTION_LIST = [f"{COUNTRY_NAMES[i]} ({COUNTRY_CODES[i]})" for i in range(len(COUNTRY_NAMES))]
+
+    # Create a hierarchical filter structure for sub-regions
+    sub_region_hierarchy = {}
+    sub_region_to_region = {}
+    for i in range(len(SUB_REGIONS)):
+        sub_region = SUB_REGIONS[i]
+        country = COUNTRY_CODES[i]
+        region = REGIONS[i]
+        if sub_region not in sub_region_hierarchy:
+            sub_region_hierarchy[sub_region] = []
+        sub_region_hierarchy[sub_region].append(country)
+        
+        # Map sub-regions to regions
+        sub_region_to_region[sub_region] = region
 
-    COUNTRY_OPTION_LIST = [f"{COUNTRY_NAMES[i]} ({COUNTRY_CODES[i][-3:-1].upper()})"for i in range(len(COUNTRY_NAMES))]
+    # Sort the subregions by regions
+    sorted_sub_regions = sorted(sub_region_hierarchy.keys(), key=lambda x: sub_region_to_region[x])
+    
+    return COUNTRY_OPTION_LIST, sorted_sub_regions
+
+# Call the function to load and display the country data
+COUNTRY_OPTION_LIST, REGION_OPTION_LIST = getCountry()
 
-    return COUNTRY_OPTION_LIST
 
 # Load Sentence Transformer Model
 @st.cache_resource
@@ -110,126 +192,172 @@ def load_model():
     return model
 
 # Load Embeddings
-@st.cache_data 
+@st.cache_data
 def load_embeddings_and_index():
     # Load embeddings
     with open("src/embeddings.pkl", "rb") as fIn:
         stored_data = pickle.load(fIn)
     embeddings = stored_data["embeddings"]
-
     return embeddings
-    
 
-# USE CACHE FUNCTIONS 
-sim_matrix = load_sim_matrix() # For similarities when mathces between same orgas are allowed
-nonsameorgas_sim_matrix = load_nonsameorga_sim_matrix()  #For similarities when mathces between same orgas are NOT allowed
+# USE CACHE FUNCTIONS
+sim_matrix = load_sim_matrix() # For similarities when matches between same orgas are allowed
+nonsameorgas_sim_matrix = load_nonsameorga_sim_matrix()  #For similarities when matches between same orgas are NOT allowed
 projects_df, iati_search_list, title_search_list = load_projects()
 
 CRS3_MERGED = getCRS3()
 CRS5_MERGED = getCRS5()
 SDG_NAMES = getSDG()
 
-COUNTRY_OPTION_LIST = getCountry()
-
-# LOAD MODEL FROM CACHE FO SEMANTIC SEARCH
+# LOAD MODEL FROM CACHE FOR SEMANTIC SEARCH
 model = load_model()
 embeddings = load_embeddings_and_index()
 
-def show_multi_matching_page():
-    #st.write(f"Current RAM usage of this app: {get_process_memory():.2f} MB")
-    #st.write(" ")
-    with st.expander("Explanation"):
-        st.caption("""
-                    The Multi-Project Matching Feature uncovers synergy opportunities among various development banks and organizations by facilitating the search for 
-                    similar projects within a selected filter setting. This innovative tool leverages an AI-driven similarity score to compare all available projects 
-                    against those meeting the filter criteria, identifying potential matches that may not directly qualify under the selected filter settings. 
-                    It integrates projects listed in the IATI database from leading organizations, including BMZ, KfW, GIZ, IAD, ADB, AfDB, EIB, WB, WBTF, and the German 
-                    Federal Foreign Office (AA), offering a comprehensive platform for enhancing collaboration and maximizing the impact of development efforts.
-                """)
-        #st.write("----------------------")
+
+
+##################################
+
+def show_landing_page():
+    st.title("Project Synergy Finder")
+
+    st.subheader("About")
+    st.markdown("""
+    Multiple international organizations have projects in the same field and region. These projects could collaborate or learn from each other to increase their impact if they were aware of one another. The Project Synergy Finder facilitates the search for similar projects across different development organizations and banks in three distinct ways.    """)
+    st.markdown("<br><br>", unsafe_allow_html=True)  # Add two line breaks
+
+    st.subheader("Pages")
+    st.markdown("""
+    1. **📊 All Projects**: Displays all projects included in the analysis.
+        *Example Use Case*: Show all World Bank and African Development Bank projects in East Africa working towards the Sustainable Development Goal of achieving gender equality.
+                
+
+    2. **🎯 Single-Project Matching**: Finds the top similar projects to a selected one.
+        *Example Use Case*: Show projects in Eastern Europe that are similar to the "Second Irrigation and Drainage Improvement Project" by the World Bank.
+                
+
+    3. **🔍 Multi-Project Matching**: Searches for matching pairs of projects.
+        *Example Use Case*: Show pairs of similar projects in the "Energy Policy" sector from different organizations within the same country.
+    """)
+    st.markdown("<br><br>", unsafe_allow_html=True)  # Add two line breaks
+
+    st.subheader("Data")
+    st.markdown("""
+    **IATI Data**: The data is sourced from the [IATI d-portal](https://d-portal.org/), providing detailed project-level information. IATI (International Aid Transparency Initiative) is a global initiative to improve the transparency of development and humanitarian resources and their results to address poverty and crises.
+    
+    **Data Update**: The data is updated irregularly, with the last retrieval on 10th May 2024.
+    
+    **Project Data**: Includes Project Title, Description, URL, Country, and Sector classification (CRS). The CRS5 and CRS3 classifications organize development aid into categories, with the 5-digit level providing more specific details within the broader 3-digit categories.
+    
+    **Organizations**: The tool currently includes projects from the following organizations:
+    - **IAD**: Inter-American Development Bank
+    - **ADB**: Asian Development Bank
+    - **AfDB**: African Development Bank
+    - **EIB**: European Investment Bank
+    - **WB**: World Bank
+    - **WBTF**: World Bank Trust Fund
+    - **BMZ**: Federal Ministry for Economic Cooperation and Development (Germany)
+    - **KfW**: KfW Development Bank (Germany)
+    - **GIZ**: Deutsche Gesellschaft für Internationale Zusammenarbeit (Germany)
+    - **AA**: German Federal Foreign Office (Germany)
+    
+    **Additional Data**: The Sustainable Development Goals (SDGs) are 17 UN goals aimed at achieving global sustainability, peace, and prosperity by 2030. The SDG categorization in this tool is AI-predicted based on project descriptions and titles using a [SDG Classifier](https://huggingface.co/jonas/bert-base-uncased-finetuned-sdg) trainded on the OSDG dataset.
+    """)
+
+
+##################################
+
+
+def show_all_projects_page():
+    # Define the page size at the beginning
+    page_size = 30
+
+    def reset_pagination():
+        st.session_state.current_end_idx_all = page_size
+
 
     col1, col2, col3 = st.columns([10, 1, 10])
     with col1:
-        st.subheader("Sector Filters (required)")
-        st.caption("""
-                    Sector filters must be applied to see results. The CRS5 and CRS3 classifications organise development aid into categories, 
-                    with the 5-digit level providing more specific detail within the broader 3-digit categories. 
-                    The SDGs are 17 UN goals that aim to achieve global sustainability, peace and prosperity by 2030. Futhermore you can Search for projects with the query field.
-                    """)
-    with col3:
-        st.subheader("Additional Filters")
-        st.caption("""
-                    The additional filters allow for a more detailed search for the Multi-Project Matching.
-                """)
-    
+        st.subheader("Project Filter")
+
     st.session_state.crs5_option_disabled = True
     col1, col2, col3 = st.columns([10, 1, 10])
     with col1:
         # CRS 3 SELECTION
         crs3_option = st.multiselect(
-                        'CRS 3',
-                        CRS3_MERGED,
-                        placeholder="Select a CRS 3 code"
-                        )
+            'CRS 3',
+            CRS3_MERGED,
+            placeholder="Select a CRS 3 code",
+            on_change=reset_pagination,
+            key='crs3_all_projects_page'
+        )
 
         # CRS 5 SELECTION
-        ## Only enable crs5 select field when crs3 code is selected
-        if crs3_option != []:
+        # Only enable crs5 select field when crs3 code is selected
+        if crs3_option:
             st.session_state.crs5_option_disabled = False
 
-        ## define list of crs5 codes dependend on crs3 codes
+        # Define list of crs5 codes depending on crs3 codes
         crs5_list = [txt[0].replace('"', "") for crs3_item in crs3_option for code, txt in CRS5_MERGED.items() if str(code)[:3] == str(crs3_item)[-3:]]
 
-        ## crs5 select field
+        # crs5 select field
         crs5_option = st.multiselect(
             'CRS 5',
             crs5_list,
             placeholder="Select a CRS 5 code",
-            disabled=st.session_state.crs5_option_disabled
-            )
-        
+            disabled=st.session_state.crs5_option_disabled,
+            on_change=reset_pagination,
+            key='crs5_all_projects_page'
+        )
+
         # SDG SELECTION
         sdg_option = st.selectbox(
-                label = 'Sustainable Development Goal (SDG)',
-                index = None,
-                placeholder = "Select a SDG",
-                options = SDG_NAMES[:-1],
-                )
-
-        # SEARCH BOX
-        query = st.text_input("Search Query")
-    
+            label='Sustainable Development Goal',
+            index=None,
+            placeholder="Select a SDG",
+            options=SDG_NAMES[:-1],
+            on_change=reset_pagination,
+            key='sdg_all_projects_page'
+        )
+
     with col3:
+        # REGION SELECTION
+        region_option = st.multiselect(
+            'Regions',
+            REGION_OPTION_LIST,
+            placeholder="All regions selected",
+            on_change=reset_pagination,
+            key='regions_all_projects_page'
+        )
+
         # COUNTRY SELECTION
         country_option = st.multiselect(
-                'Country / Countries',
-                COUNTRY_OPTION_LIST,
-                placeholder="All countries selected"
-                )
-            
+            'Countries',
+            COUNTRY_OPTION_LIST,
+            placeholder="All countries selected",
+            on_change=reset_pagination,
+            key='country_all_projects_page'
+        )
+
         # ORGA SELECTION
         orga_abbreviation = projects_df["orga_abbreviation"].unique()
         orga_full_names = projects_df["orga_full_name"].unique()
-        orga_list = [f"{orga_full_names[i]} ({orga_abbreviation[i].upper()})"for i in range(len(orga_abbreviation))]
+        orga_list = [f"{orga_full_names[i]} ({orga_abbreviation[i].upper()})" for i in range(len(orga_abbreviation))]
 
         orga_option = st.multiselect(
-                'Development Bank / Organization',
-                orga_list,
-                placeholder="All organizations selected"
-                )
-        
-        different_orga_checkbox = st.checkbox("Only matches between different organizations", value=True)
-        filterd_country_only_checkbox = st.checkbox("Only matches between filtered countries", value=True)
-
+            'Organizations',
+            orga_list,
+            placeholder="All organizations selected",
+            on_change=reset_pagination,
+            key='orga_all_projects_page'
+        )
 
     # CRS CODE LIST
     crs3_list = [i[-3:] for i in crs3_option]
     crs5_list = [i[-5:] for i in crs5_option]
 
     # SDG CODE LIST
-    if sdg_option != None:
+    if sdg_option is not None:
         sdg_str = sdg_option.split(".")[0]
-        print(sdg_str)
     else:
         sdg_str = ""
 
@@ -239,137 +367,518 @@ def show_multi_matching_page():
     # ORGANIZATION CODES LIST
     orga_code_list = [option.split("(")[1][:-1].lower() for option in orga_option]
 
+    st.write("-----")
+
     # FILTER DF WITH SELECTED FILTER OPTIONS
-    TOP_X_PROJECTS = 30
-    filtered_df = filter_multi(projects_df, crs3_list, crs5_list, sdg_str, country_code_list, orga_code_list, query, model, embeddings, TOP_X_PROJECTS)
+    filtered_df = filter_all_projects(projects_df, country_code_list, orga_code_list, crs3_list, crs5_list, sdg_str, region_option)
     if isinstance(filtered_df, pd.DataFrame) and len(filtered_df) != 0:
-        # FIND MATCHES
-        ## If only same country checkbox i sactivated
-        if filterd_country_only_checkbox:
-            with st.spinner('Please wait...'):
-                compare_df = same_country_filter(projects_df, country_code_list)
-        else:
-            compare_df = projects_df
-        
-        ## if show only different orgas checkbox is activated
-        if different_orga_checkbox:
-            with st.spinner('Please wait...'):
-                p1_df, p2_df = calc_multi_matches(filtered_df, compare_df, nonsameorgas_sim_matrix, TOP_X_PROJECTS)
-        else:
-            with st.spinner('Please wait...'):
-                p1_df, p2_df = calc_multi_matches(filtered_df, compare_df, sim_matrix, TOP_X_PROJECTS)
+        # Implement pagination
+        if 'current_end_idx_all' not in st.session_state:
+            st.session_state.current_end_idx_all = page_size
+
+        end_idx = st.session_state.current_end_idx_all
+
+        paginated_df = filtered_df.iloc[:end_idx]
+
+        col1, col2 = st.columns([7, 3])
+        with col1:
+            st.subheader("Filtered Projects")
+        with col2:
+            # Add a download button for the paginated results
+            def to_excel(df, sheet_name):
+                # Rename columns
+                df = df.rename(columns={
+                    "iati_id": "IATI Identifier",
+                    "title_main": "Title",
+                    "orga_abbreviation": "Organization",
+                    "description_main": "Description",
+                    "country_name": "Country",
+                    "sdg_list": "SDG List",
+                    "crs_3_code_list": "CRS 3 Codes",
+                    "crs_5_code_list": "CRS 5 Codes",
+                    "Project Link": "Project Link"
+                })
+                output = io.BytesIO()
+                writer = pd.ExcelWriter(output, engine='xlsxwriter')
+                df.to_excel(writer, index=False, sheet_name=sheet_name)
+                writer.close()
+                processed_data = output.getvalue()
+                return processed_data
+
+            # Direct download buttons
+            columns_to_include = ["iati_id", "title_main", "orga_abbreviation", "description_main", "country_name", "sdg_list", "crs_3_code_list", "crs_5_code_list", "Project Link"]
+
+            with st.expander("Excel Download"):
+                # First 15 Results Button
+                df_to_download_15 = filtered_df[columns_to_include].head(15)
+                excel_data_15 = to_excel(df_to_download_15, "Sheet1")
+                st.download_button(label="First 30 Projects", data=excel_data_15, file_name="First_15_All_Projects_Filtered.xlsx", mime="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet")
+
+                # All Results Button
+                df_to_download_all = filtered_df[columns_to_include]
+                excel_data_all = to_excel(df_to_download_all, "Sheet1")
+                st.download_button(label="All", data=excel_data_all, file_name="All_All_Projects_Filtered.xlsx", mime="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet")
+                    
+        show_all_projects_table(projects_df, paginated_df)
+
+        st.write(f"Showing 1 to {min(end_idx, len(filtered_df))} of {len(filtered_df)} projects")
+
+        # Center the buttons and place them close together
+        col1, col2, col3, col4, col5 = st.columns([2, 1, 1, 1, 2])
+        with col2:
+            if st.button('Show More', key='show_more'):
+                st.session_state.current_end_idx_all = min(end_idx + page_size, len(filtered_df))
+                st.experimental_rerun()
+        with col4:
+            if st.button('Show Less', key='show_less') and end_idx > page_size:
+                st.session_state.current_end_idx_all = max(end_idx - page_size, page_size)
+                st.experimental_rerun()
 
-        # SHOW THE RESULT
-        show_multi_table(p1_df, p2_df)
-        del p1_df, p2_df
     else:
         st.write("-----")
         col1, col2, col3 = st.columns([1, 1, 1])
         with col2:
             st.write("  ")
             st.markdown("<span style='color: red'>There are no results for the applied filter. Try another filter!</span>", unsafe_allow_html=True)
-        
+
     del crs3_list, crs5_list, sdg_str, filtered_df
     gc.collect()
 
 
 
+##################################
+
 def show_single_matching_page():
+    # Define the page size at the beginning
+    page_size = 15
+
+    def reset_pagination():
+        st.session_state.current_end_idx_single = page_size
 
     with st.expander("Explanation"):
         st.caption("""
-                    Single Project Matching empowers you to choose an individual project using either the project IATI ID or title, and then unveils the top 10 projects 
-                    that bear the closest resemblance to your selected one. This selection is refined using a sophisticated AI algorithm that evaluates similarity based 
-                    on several key dimensions: Sustainable Development Goals (SDG), Creditor Reporting System (CRS) codes, and textual analysis of project titles and 
-                    descriptions. 
+                    Single Project Matching enables you to choose an individual project using either the project IATI ID or title, to display projects most similar to it.
+                
+                    **Similarity Score**:
+                    - Similarity ranges from 0 to 100 (identical projects score 100%), and is calculated based on           
+                        - Text similarity of project description and title (MiniLMM & Cosine Similiarity).
+                        - Matching of SDGs (AI-predicted).
+                        - Matching of CRS-3 & CRS-5 sector codes.
+                    - Components are weighted to give a normalized score. 
                     """)
-        #st.write("---------")
 
-    col1, col2 = st.columns([11, 20])
+    col1, col2, col3 = st.columns([10, 1, 10])
     with col1:
-        st.subheader("Select a reference project")
+        st.subheader("Reference Project")
         st.caption("""
-                    Select a reference project either by its title or IATI ID to find the 10 projects most similar to it. 
+                    Select a reference project either by its title or IATI ID. 
                     """)
-    with col2:
-        st.subheader("Filters for similar projects")
+    with col3:
+        st.subheader("Filters for Similar Projects")
         st.caption("""
                     The filters are applied to find the similar projects and are independend of the selected reference project.
                 """)
 
-    col1, col2, col3, col4 = st.columns([10, 1, 10, 10])
+    col1, col2, col3 = st.columns([10, 1, 10])
     with col1:
         search_option = st.selectbox(
-                    label = 'Search with project title or IATI ID',
-                    index = 0,
-                    placeholder = " ",
-                    options = ["Search with IATI ID", "Search with project title"],
-                    )
-        
+            label='Search with project title or IATI ID',
+            index=0,
+            placeholder=" ",
+            options=["Search with IATI ID", "Search with project title"],
+            on_change=reset_pagination,
+            key='search_option_single'
+        )
+
         if search_option == "Search with IATI ID":
             search_list = iati_search_list
         else:
             search_list = title_search_list
 
         project_option = st.selectbox(
-                    label = 'Search for a project',
-                    index = None,
-                    placeholder = " ",
-                    options = search_list,
-                    )
-    
+            label='Search for a project',
+            index=None,
+            placeholder=" ",
+            options=search_list,
+            on_change=reset_pagination,
+            key='project_option_single'
+        )
+
     with col3:
-        # ORGA SELECTION
         orga_abbreviation = projects_df["orga_abbreviation"].unique()
         orga_full_names = projects_df["orga_full_name"].unique()
-        orga_list = [f"{orga_full_names[i]} ({orga_abbreviation[i].upper()})"for i in range(len(orga_abbreviation))]
+        orga_list = [f"{orga_full_names[i]} ({orga_abbreviation[i].upper()})" for i in range(len(orga_abbreviation))]
 
-        orga_option_s = st.multiselect(
-                'Development Bank / Organization ',
-                orga_list,
-                placeholder="All organizations selected "
-                )
-        
-        different_orga_checkbox_s = st.checkbox("Only matches between different organizations ", value=True)
+        # REGION SELECTION
+        region_option_s = st.multiselect(
+            'Regions',
+            REGION_OPTION_LIST,
+            placeholder="All regions selected",
+            on_change=reset_pagination,
+            key='regions_single_projects_page'
+        )
 
-        
-    with col4:
-        # COUNTRY SELECTION
         country_option_s = st.multiselect(
-                'Country / Countries ',
-                COUNTRY_OPTION_LIST,
-                placeholder="All countries selected "
-                )
+            'Countries ',
+            COUNTRY_OPTION_LIST,
+            placeholder="All countries selected ",
+            on_change=reset_pagination,
+            key='country_option_single'
+        )
+        orga_option_s = st.multiselect(
+            'Organizations',
+            orga_list,
+            placeholder="All organizations selected ",
+            on_change=reset_pagination,
+            key='orga_option_single'
+        )
 
-    st.write("--------------")
+        different_orga_checkbox_s = st.checkbox("Only matches between different organizations ", value=True, on_change=reset_pagination, key='different_orga_checkbox_single')
+
+    st.write("-----")
 
-    #selected_index = None
     if project_option:
         selected_project_index = search_list.index(project_option)
-        # COUNTRY CODES LIST
         country_code_list = [option[-3:-1] for option in country_option_s]
-
-        # ORGANIZATION CODES LIST
         orga_code_list = [option.split("(")[1][:-1].lower() for option in orga_option_s]
 
-        TOP_X_PROJECTS = 10
+        TOP_X_PROJECTS = 1000
         with st.spinner('Please wait...'):
-            filtered_df_s = filter_single(projects_df, country_code_list, orga_code_list)
+            filtered_df_s = filter_single(projects_df, country_code_list, orga_code_list, region_option_s)
 
-        if isinstance(filtered_df_s, pd.DataFrame) and len(filtered_df_s) != 0:      
+        if isinstance(filtered_df_s, pd.DataFrame) and len(filtered_df_s) != 0:
             if different_orga_checkbox_s:
                 with st.spinner('Please wait...'):
-                    top_projects_df = find_similar(selected_project_index, nonsameorgas_sim_matrix, filtered_df_s, 10)
+                    top_projects_df = find_similar(selected_project_index, nonsameorgas_sim_matrix, filtered_df_s, TOP_X_PROJECTS)
             else:
                 with st.spinner('Please wait...'):
-                    top_projects_df = find_similar(selected_project_index, sim_matrix, filtered_df_s, 10)
+                    top_projects_df = find_similar(selected_project_index, sim_matrix, filtered_df_s, TOP_X_PROJECTS)
+
+            # Implement show more, show less, and show all functionality
+            if 'current_end_idx_single' not in st.session_state:
+                st.session_state.current_end_idx_single = page_size
+
+            end_idx = st.session_state.current_end_idx_single
+
+            paginated_df = top_projects_df.iloc[:end_idx]
+
+            # Add a download button for the paginated results
+            def to_excel(df, sheet_name):
+                # Rename columns
+                df = df.rename(columns={
+                    "similarity": "Similarity Score",
+                    "iati_id": "IATI Identifier",
+                    "title_main": "Title",
+                    "orga_abbreviation": "Organization",
+                    "description_main": "Description",
+                    "country_name": "Country",
+                    "sdg_list": "SDG List",
+                    "crs_3_code_list": "CRS 3 Codes",
+                    "crs_5_code_list": "CRS 5 Codes",
+                    "Project Link": "Project Link"
+                })
+                output = io.BytesIO()
+                writer = pd.ExcelWriter(output, engine='xlsxwriter')
+                df.to_excel(writer, index=False, sheet_name=sheet_name)
+                writer.close()
+                processed_data = output.getvalue()
+                return processed_data
+
+            # Direct download buttons
+            columns_to_include = ["similarity", "iati_id", "title_main", "orga_abbreviation", "description_main", "country_name", "sdg_list", "crs_3_code_list", "crs_5_code_list", "Project Link"]
+
+            col1, col2 = st.columns([15, 5])
+            with col2:
+                with st.expander("Excel Download"):
+                    # First 15 Results Button
+                    df_to_download_15 = top_projects_df[columns_to_include].head(15)
+                    excel_data_15 = to_excel(df_to_download_15, "Sheet1")
+                    st.download_button(label="Download first 15 projects", data=excel_data_15, file_name="First_15_Single_Project_Matching_Results.xlsx", mime="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet")
+                    df_to_download_all = top_projects_df[columns_to_include]
+                    excel_data_all = to_excel(df_to_download_all, "Sheet1")
+                    st.download_button(label="Download All", data=excel_data_all, file_name="All_Single_Project_Matching_Results.xlsx", mime="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet")
+                
+            show_single_table(selected_project_index, projects_df, paginated_df)
+
+            st.write(f"Showing 1 to {min(end_idx, len(top_projects_df))} of {len(top_projects_df)} projects")
+
+            # Center the buttons and place them close together
+            col1, col2, col3, col4, col5 = st.columns([2, 1, 1, 1, 2])
+            with col2:
+                if st.button('Show More'):
+                    st.session_state.current_end_idx_single = min(end_idx + page_size, len(top_projects_df))
+                    st.experimental_rerun()
+            with col3:
+                if st.button('Show Less') and end_idx > page_size:
+                    st.session_state.current_end_idx_single = max(end_idx - page_size, page_size)
+                    st.experimental_rerun()
+            with col4:
+                if st.button('Show All'):
+                    st.session_state.current_end_idx_single = len(top_projects_df)
+                    st.experimental_rerun()
+
+        else:
+            st.write("-----")
+            col1, col2, col3 = st.columns([1, 1, 1])
+            with col2:
+                st.write("  ")
+                st.markdown("<span style='color: red'>There are no results for this filter!</span>", unsafe_allow_html=True)
+    gc.collect()
+
 
-            show_single_table(selected_project_index, projects_df, top_projects_df)
+##################################
+def show_multi_matching_page():
+    # Define the page size at the beginning
+    page_size = 30
+
+    def reset_pagination():
+        st.session_state.current_end_idx_multi = page_size
+
+    with st.expander("Explanation"):
+        st.caption("""
+        Multi-Project Matching enables to find collaboration opportunities by identifying matching (=similar) projects.
+
+        **How It Works**:
+        - Filter projects by CRS sector, SDG, country, and organization.
+        - Each match displays two similar projects side-by-side.
+
+        **Similarity Score**:
+        - Similarity ranges from 0 to 100 (Identical projects score 100%), and is calculated based on           
+        - Text similarity of project description and title (MiniLMM & Cosine Similiarity).
+        - Matching of SDGs (AI-predicted).
+        - Matching of CRS-3 & CRS-5 sector codes.
+        - Components are weighted to give a normalized score. 
+        """)
+    col1, col2, col3 = st.columns([10, 1, 10])
+    with col1:
+        st.subheader("Sector Filters")
+        st.caption("""
+            At least one sector filter must be applied to see results.
+        """)
+    with col3:
+        st.subheader("Additional Filters")
+
+    st.session_state.crs5_option_disabled = True
+    col1, col2, col3 = st.columns([10, 1, 10])
+    with col1:
+        crs3_option = st.multiselect(
+            'CRS 3',
+            CRS3_MERGED,
+            placeholder="Select a CRS 3 code",
+            on_change=reset_pagination,
+            key='crs3_multi_projects_page'
+        )
+
+        if crs3_option:
+            st.session_state.crs5_option_disabled = False
+
+        crs5_list = [txt[0].replace('"', "") for crs3_item in crs3_option for code, txt in CRS5_MERGED.items() if str(code)[:3] == str(crs3_item)[-3:]]
+
+        crs5_option = st.multiselect(
+            'CRS 5',
+            crs5_list,
+            placeholder="Select a CRS 5 code",
+            disabled=st.session_state.crs5_option_disabled,
+            on_change=reset_pagination,
+            key='crs5_multi_projects_page'
+        )
+
+        sdg_option = st.selectbox(
+            label='Sustainable Development Goal',
+            index=None,
+            placeholder="Select a SDG",
+            options=SDG_NAMES[:-1],
+            on_change=reset_pagination,
+            key='sdg_multi_projects_page'
+        )
+
+        query = ""
+
+    with col3:
+        region_option = st.multiselect(
+            'Regions',
+            REGION_OPTION_LIST,
+            placeholder="All regions selected",
+            on_change=reset_pagination,
+            key='regions_multi_projects_page'
+        )
+        country_option = st.multiselect(
+            'Countries',
+            COUNTRY_OPTION_LIST,
+            placeholder="All countries selected",
+            on_change=reset_pagination,
+            key='country_multi_projects_page'
+        )
 
+        orga_abbreviation = projects_df["orga_abbreviation"].unique()
+        orga_full_names = projects_df["orga_full_name"].unique()
+        orga_list = [f"{orga_full_names[i]} ({orga_abbreviation[i].upper()})" for i in range(len(orga_abbreviation))]
+
+        orga_option = st.multiselect(
+            'Organizations',
+            orga_list,
+            placeholder="All organizations selected",
+            on_change=reset_pagination,
+            key='orga_multi_projects_page'
+        )
+
+        identical_country_checkbox = st.checkbox("Only matches where country is identical", value=True, on_change=reset_pagination, key='identical_country_checkbox_multi')
+        different_orga_checkbox = st.checkbox("Only matches between different organizations", value=True, on_change=reset_pagination, key='different_orga_checkbox_multi')
+        filtered_country_only_checkbox = st.checkbox("Only matches between filtered countries", value=True, on_change=reset_pagination, key='filtered_country_only_checkbox_multi')
+        filtered_orga_only_checkbox = st.checkbox("Only matches between filtered organisations", value=True, on_change=reset_pagination, key='filtered_orga_only_checkbox_multi')
+
+
+    # CRS CODE LIST
+    crs3_list = [i[-3:] for i in crs3_option]
+    crs5_list = [i[-5:] for i in crs5_option]
+
+    # SDG CODE LIST
+    sdg_str = sdg_option.split(".")[0] if sdg_option else ""
+
+    # COUNTRY CODES LIST
+    country_code_list = [option[-3:-1] for option in country_option]
+
+    # ORGANIZATION CODES LIST
+    orga_code_list = [option.split("(")[1][:-1].lower() for option in orga_option]
+
+    # Handle case where no organizations are selected but the checkbox is checked
+    if filtered_orga_only_checkbox and not orga_code_list:
+        orga_code_list = projects_df["orga_abbreviation"].unique().tolist()
+
+    # FILTER DF WITH SELECTED FILTER OPTIONS
+    TOP_X_PROJECTS = 2000
+    filtered_df = filter_multi(projects_df, crs3_list, crs5_list, sdg_str, country_code_list, orga_code_list, region_option, query, model, embeddings, TOP_X_PROJECTS)
+    if isinstance(filtered_df, pd.DataFrame) and len(filtered_df) != 0:
+        # FIND MATCHES
+        # If only same country checkbox is activated
+        if filtered_country_only_checkbox:
+            with st.spinner('Please wait...'):
+                compare_df = same_country_filter(projects_df, country_code_list)
+        else:
+            compare_df = projects_df
+
+        if filtered_orga_only_checkbox:
+            compare_df = compare_df[compare_df['orga_abbreviation'].isin(orga_code_list)]
+
+        # if show only different orgas checkbox is activated
+        with st.spinner('Please wait...'):
+            p1_df, p2_df = calc_multi_matches(filtered_df, compare_df, nonsameorgas_sim_matrix if different_orga_checkbox else sim_matrix, TOP_X_PROJECTS, identical_country=identical_country_checkbox)
+
+        # Sort by similarity before pagination
+        p1_df = p1_df.sort_values(by='similarity', ascending=False)
+        p2_df = p2_df.sort_values(by='similarity', ascending=False)
+
+        # Implement pagination
+        if 'current_end_idx_multi' not in st.session_state:
+            st.session_state.current_end_idx_multi = page_size
+
+        end_idx = st.session_state.current_end_idx_multi
+
+        paginated_p1_df = p1_df.iloc[:end_idx]
+        paginated_p2_df = p2_df.iloc[:end_idx]
+
+        if not paginated_p1_df.empty and not paginated_p2_df.empty:
+            col1, col2 = st.columns([10, 2])
+            with col1:
+                st.subheader("Matched Projects")
+            with col2:
+                # Add a download button for the paginated results
+                def to_excel(p1_df, p2_df, sheet_name):
+                    # Rename columns
+                    p1_df = p1_df.rename(columns={
+                        "similarity": "Similarity Score",
+                        "iati_id": "IATI Identifier",
+                        "title_main": "Title",
+                        "orga_abbreviation": "Organization",
+                        "description_main": "Description",
+                        "country_name": "Country",
+                        "sdg_list": "SDG List",
+                        "crs_3_code_list": "CRS 3 Codes",
+                        "crs_5_code_list": "CRS 5 Codes",
+                        "Project Link": "Project Link"
+                    })
+                    p2_df = p2_df.rename(columns={
+                        "similarity": "Similarity Score",
+                        "iati_id": "IATI Identifier",
+                        "title_main": "Title",
+                        "orga_abbreviation": "Organization",
+                        "description_main": "Description",
+                        "country_name": "Country",
+                        "sdg_list": "SDG List",
+                        "crs_3_code_list": "CRS 3 Codes",
+                        "crs_5_code_list": "CRS 5 Codes",
+                        "Project Link": "Project Link"
+                    })
+                    
+                    combined_df = pd.concat([p1_df, pd.DataFrame([{}]), p2_df], ignore_index=True)
+                    combined_df.fillna('', inplace=True)
+                    
+                    empty_row = pd.DataFrame([{}])
+                    combined_df_list = []
+                    
+                    for idx in range(0, len(p1_df), 2):
+                        combined_df_list.append(p1_df.iloc[[idx]])
+                        combined_df_list.append(p2_df.iloc[[idx]])
+                        combined_df_list.append(empty_row)
+                    
+                    combined_df = pd.concat(combined_df_list, ignore_index=True)
+                    
+                    output = io.BytesIO()
+                    writer = pd.ExcelWriter(output, engine='xlsxwriter')
+                    combined_df.to_excel(writer, index=False, sheet_name=sheet_name)
+                    writer.close()
+                    processed_data = output.getvalue()
+                    return processed_data
+
+                # Direct download buttons
+                columns_to_include = ["similarity", "iati_id", "title_main", "orga_abbreviation", "description_main", "country_name", "sdg_list", "crs_3_code_list", "crs_5_code_list", "Project Link"]
+
+                with st.expander("Excel Download"):
+                    # First 15 Results Button
+                    p1_df_to_download_15 = p1_df[columns_to_include].head(30)
+                    p2_df_to_download_15 = p2_df[columns_to_include].head(30)
+                    excel_data_15 = to_excel(p1_df_to_download_15, p2_df_to_download_15, "Sheet1")
+                    st.download_button(label="First 15 Matches", data=excel_data_15, file_name="First_15_Multi_Projects_Matching_Results.xlsx", mime="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet")
+
+                    # All Results Button
+                    p1_df_to_download_all = p1_df[columns_to_include]
+                    p2_df_to_download_all = p2_df[columns_to_include]
+                    excel_data_all = to_excel(p1_df_to_download_all, p2_df_to_download_all, "Sheet1")
+                    st.download_button(label="All", data=excel_data_all, file_name="All_Multi_Projects_Matching_Results.xlsx", mime="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet")
+
+            show_multi_table(paginated_p1_df, paginated_p2_df)
+
+            st.write(f"Showing 1 to {min(end_idx // 2, len(p1_df) // 2)} of {len(p1_df) // 2} matches")
+
+            # Center the buttons and place them close together
+            col1, col2, col3, col4, col5 = st.columns([2, 1, 1, 1, 2])
+            with col2:
+                if st.button('Show More', key='show_more_button'):
+                    st.session_state.current_end_idx_multi = min(end_idx + page_size, len(p1_df))
+                    st.experimental_rerun()
+            with col3:
+                if st.button('Show Less', key='show_less_button') and end_idx > page_size:
+                    st.session_state.current_end_idx_multi = max(end_idx - page_size, page_size)
+                    st.experimental_rerun()
+            with col4:
+                if st.button('Show All', key='show_all_button'):
+                    st.session_state.current_end_idx_multi = len(p1_df)
+                    st.experimental_rerun()
+
+            del p1_df, p2_df
         else:
             st.write("-----")
             col1, col2, col3 = st.columns([1, 1, 1])
             with col2:
                 st.write("  ")
-                st.markdown("<span style='color: red'>Ther are no results for this filter!</span>", unsafe_allow_html=True)
-            
+                st.markdown("<span style='color: red'>There are no results for the applied filter. Try another filter!</span>", unsafe_allow_html=True)
+
+    else:
+        st.write("-----")
+        col1, col2, col3 = st.columns([1, 1, 1])
+        with col2:
+            st.write("  ")
+            st.markdown("<span style='color: red'>There are no results for the applied filter. Try another filter!</span>", unsafe_allow_html=True)
+
+    del crs3_list, crs5_list, sdg_str, filtered_df
+    gc.collect()

env/Lib/site-packages/_distutils_hack/__init__.py

@@ -0,0 +1,222 @@
+# don't import any costly modules
+import sys
+import os
+
+
+is_pypy = '__pypy__' in sys.builtin_module_names
+
+
+def warn_distutils_present():
+    if 'distutils' not in sys.modules:
+        return
+    if is_pypy and sys.version_info < (3, 7):
+        # PyPy for 3.6 unconditionally imports distutils, so bypass the warning
+        # https://foss.heptapod.net/pypy/pypy/-/blob/be829135bc0d758997b3566062999ee8b23872b4/lib-python/3/site.py#L250
+        return
+    import warnings
+
+    warnings.warn(
+        "Distutils was imported before Setuptools, but importing Setuptools "
+        "also replaces the `distutils` module in `sys.modules`. This may lead "
+        "to undesirable behaviors or errors. To avoid these issues, avoid "
+        "using distutils directly, ensure that setuptools is installed in the "
+        "traditional way (e.g. not an editable install), and/or make sure "
+        "that setuptools is always imported before distutils."
+    )
+
+
+def clear_distutils():
+    if 'distutils' not in sys.modules:
+        return
+    import warnings
+
+    warnings.warn("Setuptools is replacing distutils.")
+    mods = [
+        name
+        for name in sys.modules
+        if name == "distutils" or name.startswith("distutils.")
+    ]
+    for name in mods:
+        del sys.modules[name]
+
+
+def enabled():
+    """
+    Allow selection of distutils by environment variable.
+    """
+    which = os.environ.get('SETUPTOOLS_USE_DISTUTILS', 'local')
+    return which == 'local'
+
+
+def ensure_local_distutils():
+    import importlib
+
+    clear_distutils()
+
+    # With the DistutilsMetaFinder in place,
+    # perform an import to cause distutils to be
+    # loaded from setuptools._distutils. Ref #2906.
+    with shim():
+        importlib.import_module('distutils')
+
+    # check that submodules load as expected
+    core = importlib.import_module('distutils.core')
+    assert '_distutils' in core.__file__, core.__file__
+    assert 'setuptools._distutils.log' not in sys.modules
+
+
+def do_override():
+    """
+    Ensure that the local copy of distutils is preferred over stdlib.
+
+    See https://github.com/pypa/setuptools/issues/417#issuecomment-392298401
+    for more motivation.
+    """
+    if enabled():
+        warn_distutils_present()
+        ensure_local_distutils()
+
+
+class _TrivialRe:
+    def __init__(self, *patterns):
+        self._patterns = patterns
+
+    def match(self, string):
+        return all(pat in string for pat in self._patterns)
+
+
+class DistutilsMetaFinder:
+    def find_spec(self, fullname, path, target=None):
+        # optimization: only consider top level modules and those
+        # found in the CPython test suite.
+        if path is not None and not fullname.startswith('test.'):
+            return
+
+        method_name = 'spec_for_{fullname}'.format(**locals())
+        method = getattr(self, method_name, lambda: None)
+        return method()
+
+    def spec_for_distutils(self):
+        if self.is_cpython():
+            return
+
+        import importlib
+        import importlib.abc
+        import importlib.util
+
+        try:
+            mod = importlib.import_module('setuptools._distutils')
+        except Exception:
+            # There are a couple of cases where setuptools._distutils
+            # may not be present:
+            # - An older Setuptools without a local distutils is
+            #   taking precedence. Ref #2957.
+            # - Path manipulation during sitecustomize removes
+            #   setuptools from the path but only after the hook
+            #   has been loaded. Ref #2980.
+            # In either case, fall back to stdlib behavior.
+            return
+
+        class DistutilsLoader(importlib.abc.Loader):
+            def create_module(self, spec):
+                mod.__name__ = 'distutils'
+                return mod
+
+            def exec_module(self, module):
+                pass
+
+        return importlib.util.spec_from_loader(
+            'distutils', DistutilsLoader(), origin=mod.__file__
+        )
+
+    @staticmethod
+    def is_cpython():
+        """
+        Suppress supplying distutils for CPython (build and tests).
+        Ref #2965 and #3007.
+        """
+        return os.path.isfile('pybuilddir.txt')
+
+    def spec_for_pip(self):
+        """
+        Ensure stdlib distutils when running under pip.
+        See pypa/pip#8761 for rationale.
+        """
+        if self.pip_imported_during_build():
+            return
+        clear_distutils()
+        self.spec_for_distutils = lambda: None
+
+    @classmethod
+    def pip_imported_during_build(cls):
+        """
+        Detect if pip is being imported in a build script. Ref #2355.
+        """
+        import traceback
+
+        return any(
+            cls.frame_file_is_setup(frame) for frame, line in traceback.walk_stack(None)
+        )
+
+    @staticmethod
+    def frame_file_is_setup(frame):
+        """
+        Return True if the indicated frame suggests a setup.py file.
+        """
+        # some frames may not have __file__ (#2940)
+        return frame.f_globals.get('__file__', '').endswith('setup.py')
+
+    def spec_for_sensitive_tests(self):
+        """
+        Ensure stdlib distutils when running select tests under CPython.
+
+        python/cpython#91169
+        """
+        clear_distutils()
+        self.spec_for_distutils = lambda: None
+
+    sensitive_tests = (
+        [
+            'test.test_distutils',
+            'test.test_peg_generator',
+            'test.test_importlib',
+        ]
+        if sys.version_info < (3, 10)
+        else [
+            'test.test_distutils',
+        ]
+    )
+
+
+for name in DistutilsMetaFinder.sensitive_tests:
+    setattr(
+        DistutilsMetaFinder,
+        f'spec_for_{name}',
+        DistutilsMetaFinder.spec_for_sensitive_tests,
+    )
+
+
+DISTUTILS_FINDER = DistutilsMetaFinder()
+
+
+def add_shim():
+    DISTUTILS_FINDER in sys.meta_path or insert_shim()
+
+
+class shim:
+    def __enter__(self):
+        insert_shim()
+
+    def __exit__(self, exc, value, tb):
+        remove_shim()
+
+
+def insert_shim():
+    sys.meta_path.insert(0, DISTUTILS_FINDER)
+
+
+def remove_shim():
+    try:
+        sys.meta_path.remove(DISTUTILS_FINDER)
+    except ValueError:
+        pass

env/Lib/site-packages/_distutils_hack/override.py

@@ -0,0 +1 @@
+__import__('_distutils_hack').do_override()

env/Lib/site-packages/distutils-precedence.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2638ce9e2500e572a5e0de7faed6661eb569d1b696fcba07b0dd223da5f5d224
+size 151

env/Lib/site-packages/pip-23.2.1.dist-info/AUTHORS.txt

@@ -0,0 +1,738 @@
+@Switch01
+A_Rog
+Aakanksha Agrawal
+Abhinav Sagar
+ABHYUDAY PRATAP SINGH
+abs51295
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+Adam Chainz
+Adam Tse
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+admin
+Adrien Morison
+ahayrapetyan
+Ahilya
+AinsworthK
+Akash Srivastava
+Alan Yee
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+Albert-Guan
+albertg
+Alberto Sottile
+Aleks Bunin
+Alethea Flowers
+Alex Gaynor
+Alex Grönholm
+Alex Hedges
+Alex Loosley
+Alex Morega
+Alex Stachowiak
+Alexander Shtyrov
+Alexandre Conrad
+Alexey Popravka
+Alli
+Ami Fischman
+Ananya Maiti
+Anatoly Techtonik
+Anders Kaseorg
+Andre Aguiar
+Andreas Lutro
+Andrei Geacar
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+Andrew Shymanel
+Andrey Bienkowski
+Andrey Bulgakov
+Andrés Delfino
+Andy Freeland
+Andy Kluger
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+Aniruddha Basak
+Anish Tambe
+Anrs Hu
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+Antony Lee
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+atse
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+Baptiste Mispelon
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+barneygale
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+Ben Darnell
+Ben Hoyt
+Ben Mares
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+Benjamin Peterson
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+Bernard
+Bernard Tyers
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+Bernhard M. Wiedemann
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+BorisZZZ
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+Brett Rosen
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+briantracy
+BrownTruck
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+Bruno Renié
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+Bstrdsmkr
+Buck Golemon
+burrows
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+bwoodsend
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+Copyright (c) 2008-present The pip developers (see AUTHORS.txt file)
+
+Permission is hereby granted, free of charge, to any person obtaining
+a copy of this software and associated documentation files (the
+"Software"), to deal in the Software without restriction, including
+without limitation the rights to use, copy, modify, merge, publish,
+distribute, sublicense, and/or sell copies of the Software, and to
+permit persons to whom the Software is furnished to do so, subject to
+the following conditions:
+
+The above copyright notice and this permission notice shall be
+included in all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
+EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
+MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
+NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
+LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
+OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
+WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

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+Metadata-Version: 2.1
+Name: pip
+Version: 23.2.1
+Summary: The PyPA recommended tool for installing Python packages.
+Home-page: https://pip.pypa.io/
+Author: The pip developers
+Author-email: distutils-sig@python.org
+License: MIT
+Project-URL: Documentation, https://pip.pypa.io
+Project-URL: Source, https://github.com/pypa/pip
+Project-URL: Changelog, https://pip.pypa.io/en/stable/news/
+Classifier: Development Status :: 5 - Production/Stable
+Classifier: Intended Audience :: Developers
+Classifier: License :: OSI Approved :: MIT License
+Classifier: Topic :: Software Development :: Build Tools
+Classifier: Programming Language :: Python
+Classifier: Programming Language :: Python :: 3
+Classifier: Programming Language :: Python :: 3 :: Only
+Classifier: Programming Language :: Python :: 3.7
+Classifier: Programming Language :: Python :: 3.8
+Classifier: Programming Language :: Python :: 3.9
+Classifier: Programming Language :: Python :: 3.10
+Classifier: Programming Language :: Python :: 3.11
+Classifier: Programming Language :: Python :: 3.12
+Classifier: Programming Language :: Python :: Implementation :: CPython
+Classifier: Programming Language :: Python :: Implementation :: PyPy
+Requires-Python: >=3.7
+License-File: LICENSE.txt
+License-File: AUTHORS.txt
+
+pip - The Python Package Installer
+==================================
+
+.. image:: https://img.shields.io/pypi/v/pip.svg
+   :target: https://pypi.org/project/pip/
+
+.. image:: https://readthedocs.org/projects/pip/badge/?version=latest
+   :target: https://pip.pypa.io/en/latest
+
+pip is the `package installer`_ for Python. You can use pip to install packages from the `Python Package Index`_ and other indexes.
+
+Please take a look at our documentation for how to install and use pip:
+
+* `Installation`_
+* `Usage`_
+
+We release updates regularly, with a new version every 3 months. Find more details in our documentation:
+
+* `Release notes`_
+* `Release process`_
+
+In pip 20.3, we've `made a big improvement to the heart of pip`_; `learn more`_. We want your input, so `sign up for our user experience research studies`_ to help us do it right.
+
+**Note**: pip 21.0, in January 2021, removed Python 2 support, per pip's `Python 2 support policy`_. Please migrate to Python 3.
+
+If you find bugs, need help, or want to talk to the developers, please use our mailing lists or chat rooms:
+
+* `Issue tracking`_
+* `Discourse channel`_
+* `User IRC`_
+
+If you want to get involved head over to GitHub to get the source code, look at our development documentation and feel free to jump on the developer mailing lists and chat rooms:
+
+* `GitHub page`_
+* `Development documentation`_
+* `Development IRC`_
+
+Code of Conduct
+---------------
+
+Everyone interacting in the pip project's codebases, issue trackers, chat
+rooms, and mailing lists is expected to follow the `PSF Code of Conduct`_.
+
+.. _package installer: https://packaging.python.org/guides/tool-recommendations/
+.. _Python Package Index: https://pypi.org
+.. _Installation: https://pip.pypa.io/en/stable/installation/
+.. _Usage: https://pip.pypa.io/en/stable/
+.. _Release notes: https://pip.pypa.io/en/stable/news.html
+.. _Release process: https://pip.pypa.io/en/latest/development/release-process/
+.. _GitHub page: https://github.com/pypa/pip
+.. _Development documentation: https://pip.pypa.io/en/latest/development
+.. _made a big improvement to the heart of pip: https://pyfound.blogspot.com/2020/11/pip-20-3-new-resolver.html
+.. _learn more: https://pip.pypa.io/en/latest/user_guide/#changes-to-the-pip-dependency-resolver-in-20-3-2020
+.. _sign up for our user experience research studies: https://pyfound.blogspot.com/2020/03/new-pip-resolver-to-roll-out-this-year.html
+.. _Python 2 support policy: https://pip.pypa.io/en/latest/development/release-process/#python-2-support
+.. _Issue tracking: https://github.com/pypa/pip/issues
+.. _Discourse channel: https://discuss.python.org/c/packaging
+.. _User IRC: https://kiwiirc.com/nextclient/#ircs://irc.libera.chat:+6697/pypa
+.. _Development IRC: https://kiwiirc.com/nextclient/#ircs://irc.libera.chat:+6697/pypa-dev
+.. _PSF Code of Conduct: https://github.com/pypa/.github/blob/main/CODE_OF_CONDUCT.md

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env/Lib/site-packages/pip-23.2.1.dist-info/WHEEL

@@ -0,0 +1,5 @@
+Wheel-Version: 1.0
+Generator: bdist_wheel (0.40.0)
+Root-Is-Purelib: true
+Tag: py3-none-any
+

env/Lib/site-packages/pip-23.2.1.dist-info/entry_points.txt

@@ -0,0 +1,4 @@
+[console_scripts]
+pip = pip._internal.cli.main:main
+pip3 = pip._internal.cli.main:main
+pip3.11 = pip._internal.cli.main:main

env/Lib/site-packages/pip-23.2.1.dist-info/top_level.txt

@@ -0,0 +1 @@
+pip

env/Lib/site-packages/pip/__init__.py

@@ -0,0 +1,13 @@
+from typing import List, Optional
+
+__version__ = "23.2.1"
+
+
+def main(args: Optional[List[str]] = None) -> int:
+    """This is an internal API only meant for use by pip's own console scripts.
+
+    For additional details, see https://github.com/pypa/pip/issues/7498.
+    """
+    from pip._internal.utils.entrypoints import _wrapper
+
+    return _wrapper(args)

env/Lib/site-packages/pip/__main__.py

@@ -0,0 +1,24 @@
+import os
+import sys
+
+# Remove '' and current working directory from the first entry
+# of sys.path, if present to avoid using current directory
+# in pip commands check, freeze, install, list and show,
+# when invoked as python -m pip <command>
+if sys.path[0] in ("", os.getcwd()):
+    sys.path.pop(0)
+
+# If we are running from a wheel, add the wheel to sys.path
+# This allows the usage python pip-*.whl/pip install pip-*.whl
+if __package__ == "":
+    # __file__ is pip-*.whl/pip/__main__.py
+    # first dirname call strips of '/__main__.py', second strips off '/pip'
+    # Resulting path is the name of the wheel itself
+    # Add that to sys.path so we can import pip
+    path = os.path.dirname(os.path.dirname(__file__))
+    sys.path.insert(0, path)
+
+if __name__ == "__main__":
+    from pip._internal.cli.main import main as _main
+
+    sys.exit(_main())

env/Lib/site-packages/pip/__pip-runner__.py

@@ -0,0 +1,50 @@
+"""Execute exactly this copy of pip, within a different environment.
+
+This file is named as it is, to ensure that this module can't be imported via
+an import statement.
+"""
+
+# /!\ This version compatibility check section must be Python 2 compatible. /!\
+
+import sys
+
+# Copied from setup.py
+PYTHON_REQUIRES = (3, 7)
+
+
+def version_str(version):  # type: ignore
+    return ".".join(str(v) for v in version)
+
+
+if sys.version_info[:2] < PYTHON_REQUIRES:
+    raise SystemExit(
+        "This version of pip does not support python {} (requires >={}).".format(
+            version_str(sys.version_info[:2]), version_str(PYTHON_REQUIRES)
+        )
+    )
+
+# From here on, we can use Python 3 features, but the syntax must remain
+# Python 2 compatible.
+
+import runpy  # noqa: E402
+from importlib.machinery import PathFinder  # noqa: E402
+from os.path import dirname  # noqa: E402
+
+PIP_SOURCES_ROOT = dirname(dirname(__file__))
+
+
+class PipImportRedirectingFinder:
+    @classmethod
+    def find_spec(self, fullname, path=None, target=None):  # type: ignore
+        if fullname != "pip":
+            return None
+
+        spec = PathFinder.find_spec(fullname, [PIP_SOURCES_ROOT], target)
+        assert spec, (PIP_SOURCES_ROOT, fullname)
+        return spec
+
+
+sys.meta_path.insert(0, PipImportRedirectingFinder())
+
+assert __name__ == "__main__", "Cannot run __pip-runner__.py as a non-main module"
+runpy.run_module("pip", run_name="__main__", alter_sys=True)

env/Lib/site-packages/pip/_internal/__init__.py

@@ -0,0 +1,19 @@
+from typing import List, Optional
+
+import pip._internal.utils.inject_securetransport  # noqa
+from pip._internal.utils import _log
+
+# init_logging() must be called before any call to logging.getLogger()
+# which happens at import of most modules.
+_log.init_logging()
+
+
+def main(args: (Optional[List[str]]) = None) -> int:
+    """This is preserved for old console scripts that may still be referencing
+    it.
+
+    For additional details, see https://github.com/pypa/pip/issues/7498.
+    """
+    from pip._internal.utils.entrypoints import _wrapper
+
+    return _wrapper(args)

env/Lib/site-packages/pip/_internal/build_env.py

@@ -0,0 +1,311 @@
+"""Build Environment used for isolation during sdist building
+"""
+
+import logging
+import os
+import pathlib
+import site
+import sys
+import textwrap
+from collections import OrderedDict
+from types import TracebackType
+from typing import TYPE_CHECKING, Iterable, List, Optional, Set, Tuple, Type, Union
+
+from pip._vendor.certifi import where
+from pip._vendor.packaging.requirements import Requirement
+from pip._vendor.packaging.version import Version
+
+from pip import __file__ as pip_location
+from pip._internal.cli.spinners import open_spinner
+from pip._internal.locations import get_platlib, get_purelib, get_scheme
+from pip._internal.metadata import get_default_environment, get_environment
+from pip._internal.utils.subprocess import call_subprocess
+from pip._internal.utils.temp_dir import TempDirectory, tempdir_kinds
+
+if TYPE_CHECKING:
+    from pip._internal.index.package_finder import PackageFinder
+
+logger = logging.getLogger(__name__)
+
+
+def _dedup(a: str, b: str) -> Union[Tuple[str], Tuple[str, str]]:
+    return (a, b) if a != b else (a,)
+
+
+class _Prefix:
+    def __init__(self, path: str) -> None:
+        self.path = path
+        self.setup = False
+        scheme = get_scheme("", prefix=path)
+        self.bin_dir = scheme.scripts
+        self.lib_dirs = _dedup(scheme.purelib, scheme.platlib)
+
+
+def get_runnable_pip() -> str:
+    """Get a file to pass to a Python executable, to run the currently-running pip.
+
+    This is used to run a pip subprocess, for installing requirements into the build
+    environment.
+    """
+    source = pathlib.Path(pip_location).resolve().parent
+
+    if not source.is_dir():
+        # This would happen if someone is using pip from inside a zip file. In that
+        # case, we can use that directly.
+        return str(source)
+
+    return os.fsdecode(source / "__pip-runner__.py")
+
+
+def _get_system_sitepackages() -> Set[str]:
+    """Get system site packages
+
+    Usually from site.getsitepackages,
+    but fallback on `get_purelib()/get_platlib()` if unavailable
+    (e.g. in a virtualenv created by virtualenv<20)
+
+    Returns normalized set of strings.
+    """
+    if hasattr(site, "getsitepackages"):
+        system_sites = site.getsitepackages()
+    else:
+        # virtualenv < 20 overwrites site.py without getsitepackages
+        # fallback on get_purelib/get_platlib.
+        # this is known to miss things, but shouldn't in the cases
+        # where getsitepackages() has been removed (inside a virtualenv)
+        system_sites = [get_purelib(), get_platlib()]
+    return {os.path.normcase(path) for path in system_sites}
+
+
+class BuildEnvironment:
+    """Creates and manages an isolated environment to install build deps"""
+
+    def __init__(self) -> None:
+        temp_dir = TempDirectory(kind=tempdir_kinds.BUILD_ENV, globally_managed=True)
+
+        self._prefixes = OrderedDict(
+            (name, _Prefix(os.path.join(temp_dir.path, name)))
+            for name in ("normal", "overlay")
+        )
+
+        self._bin_dirs: List[str] = []
+        self._lib_dirs: List[str] = []
+        for prefix in reversed(list(self._prefixes.values())):
+            self._bin_dirs.append(prefix.bin_dir)
+            self._lib_dirs.extend(prefix.lib_dirs)
+
+        # Customize site to:
+        # - ensure .pth files are honored
+        # - prevent access to system site packages
+        system_sites = _get_system_sitepackages()
+
+        self._site_dir = os.path.join(temp_dir.path, "site")
+        if not os.path.exists(self._site_dir):
+            os.mkdir(self._site_dir)
+        with open(
+            os.path.join(self._site_dir, "sitecustomize.py"), "w", encoding="utf-8"
+        ) as fp:
+            fp.write(
+                textwrap.dedent(
+                    """
+                import os, site, sys
+
+                # First, drop system-sites related paths.
+                original_sys_path = sys.path[:]
+                known_paths = set()
+                for path in {system_sites!r}:
+                    site.addsitedir(path, known_paths=known_paths)
+                system_paths = set(
+                    os.path.normcase(path)
+                    for path in sys.path[len(original_sys_path):]
+                )
+                original_sys_path = [
+                    path for path in original_sys_path
+                    if os.path.normcase(path) not in system_paths
+                ]
+                sys.path = original_sys_path
+
+                # Second, add lib directories.
+                # ensuring .pth file are processed.
+                for path in {lib_dirs!r}:
+                    assert not path in sys.path
+                    site.addsitedir(path)
+                """
+                ).format(system_sites=system_sites, lib_dirs=self._lib_dirs)
+            )
+
+    def __enter__(self) -> None:
+        self._save_env = {
+            name: os.environ.get(name, None)
+            for name in ("PATH", "PYTHONNOUSERSITE", "PYTHONPATH")
+        }
+
+        path = self._bin_dirs[:]
+        old_path = self._save_env["PATH"]
+        if old_path:
+            path.extend(old_path.split(os.pathsep))
+
+        pythonpath = [self._site_dir]
+
+        os.environ.update(
+            {
+                "PATH": os.pathsep.join(path),
+                "PYTHONNOUSERSITE": "1",
+                "PYTHONPATH": os.pathsep.join(pythonpath),
+            }
+        )
+
+    def __exit__(
+        self,
+        exc_type: Optional[Type[BaseException]],
+        exc_val: Optional[BaseException],
+        exc_tb: Optional[TracebackType],
+    ) -> None:
+        for varname, old_value in self._save_env.items():
+            if old_value is None:
+                os.environ.pop(varname, None)
+            else:
+                os.environ[varname] = old_value
+
+    def check_requirements(
+        self, reqs: Iterable[str]
+    ) -> Tuple[Set[Tuple[str, str]], Set[str]]:
+        """Return 2 sets:
+        - conflicting requirements: set of (installed, wanted) reqs tuples
+        - missing requirements: set of reqs
+        """
+        missing = set()
+        conflicting = set()
+        if reqs:
+            env = (
+                get_environment(self._lib_dirs)
+                if hasattr(self, "_lib_dirs")
+                else get_default_environment()
+            )
+            for req_str in reqs:
+                req = Requirement(req_str)
+                # We're explicitly evaluating with an empty extra value, since build
+                # environments are not provided any mechanism to select specific extras.
+                if req.marker is not None and not req.marker.evaluate({"extra": ""}):
+                    continue
+                dist = env.get_distribution(req.name)
+                if not dist:
+                    missing.add(req_str)
+                    continue
+                if isinstance(dist.version, Version):
+                    installed_req_str = f"{req.name}=={dist.version}"
+                else:
+                    installed_req_str = f"{req.name}==={dist.version}"
+                if not req.specifier.contains(dist.version, prereleases=True):
+                    conflicting.add((installed_req_str, req_str))
+                # FIXME: Consider direct URL?
+        return conflicting, missing
+
+    def install_requirements(
+        self,
+        finder: "PackageFinder",
+        requirements: Iterable[str],
+        prefix_as_string: str,
+        *,
+        kind: str,
+    ) -> None:
+        prefix = self._prefixes[prefix_as_string]
+        assert not prefix.setup
+        prefix.setup = True
+        if not requirements:
+            return
+        self._install_requirements(
+            get_runnable_pip(),
+            finder,
+            requirements,
+            prefix,
+            kind=kind,
+        )
+
+    @staticmethod
+    def _install_requirements(
+        pip_runnable: str,
+        finder: "PackageFinder",
+        requirements: Iterable[str],
+        prefix: _Prefix,
+        *,
+        kind: str,
+    ) -> None:
+        args: List[str] = [
+            sys.executable,
+            pip_runnable,
+            "install",
+            "--ignore-installed",
+            "--no-user",
+            "--prefix",
+            prefix.path,
+            "--no-warn-script-location",
+        ]
+        if logger.getEffectiveLevel() <= logging.DEBUG:
+            args.append("-v")
+        for format_control in ("no_binary", "only_binary"):
+            formats = getattr(finder.format_control, format_control)
+            args.extend(
+                (
+                    "--" + format_control.replace("_", "-"),
+                    ",".join(sorted(formats or {":none:"})),
+                )
+            )
+
+        index_urls = finder.index_urls
+        if index_urls:
+            args.extend(["-i", index_urls[0]])
+            for extra_index in index_urls[1:]:
+                args.extend(["--extra-index-url", extra_index])
+        else:
+            args.append("--no-index")
+        for link in finder.find_links:
+            args.extend(["--find-links", link])
+
+        for host in finder.trusted_hosts:
+            args.extend(["--trusted-host", host])
+        if finder.allow_all_prereleases:
+            args.append("--pre")
+        if finder.prefer_binary:
+            args.append("--prefer-binary")
+        args.append("--")
+        args.extend(requirements)
+        extra_environ = {"_PIP_STANDALONE_CERT": where()}
+        with open_spinner(f"Installing {kind}") as spinner:
+            call_subprocess(
+                args,
+                command_desc=f"pip subprocess to install {kind}",
+                spinner=spinner,
+                extra_environ=extra_environ,
+            )
+
+
+class NoOpBuildEnvironment(BuildEnvironment):
+    """A no-op drop-in replacement for BuildEnvironment"""
+
+    def __init__(self) -> None:
+        pass
+
+    def __enter__(self) -> None:
+        pass
+
+    def __exit__(
+        self,
+        exc_type: Optional[Type[BaseException]],
+        exc_val: Optional[BaseException],
+        exc_tb: Optional[TracebackType],
+    ) -> None:
+        pass
+
+    def cleanup(self) -> None:
+        pass
+
+    def install_requirements(
+        self,
+        finder: "PackageFinder",
+        requirements: Iterable[str],
+        prefix_as_string: str,
+        *,
+        kind: str,
+    ) -> None:
+        raise NotImplementedError()

env/Lib/site-packages/pip/_internal/cache.py

@@ -0,0 +1,292 @@
+"""Cache Management
+"""
+
+import hashlib
+import json
+import logging
+import os
+from pathlib import Path
+from typing import Any, Dict, List, Optional
+
+from pip._vendor.packaging.tags import Tag, interpreter_name, interpreter_version
+from pip._vendor.packaging.utils import canonicalize_name
+
+from pip._internal.exceptions import InvalidWheelFilename
+from pip._internal.models.direct_url import DirectUrl
+from pip._internal.models.link import Link
+from pip._internal.models.wheel import Wheel
+from pip._internal.utils.temp_dir import TempDirectory, tempdir_kinds
+from pip._internal.utils.urls import path_to_url
+
+logger = logging.getLogger(__name__)
+
+ORIGIN_JSON_NAME = "origin.json"
+
+
+def _hash_dict(d: Dict[str, str]) -> str:
+    """Return a stable sha224 of a dictionary."""
+    s = json.dumps(d, sort_keys=True, separators=(",", ":"), ensure_ascii=True)
+    return hashlib.sha224(s.encode("ascii")).hexdigest()
+
+
+class Cache:
+    """An abstract class - provides cache directories for data from links
+
+    :param cache_dir: The root of the cache.
+    """
+
+    def __init__(self, cache_dir: str) -> None:
+        super().__init__()
+        assert not cache_dir or os.path.isabs(cache_dir)
+        self.cache_dir = cache_dir or None
+
+    def _get_cache_path_parts(self, link: Link) -> List[str]:
+        """Get parts of part that must be os.path.joined with cache_dir"""
+
+        # We want to generate an url to use as our cache key, we don't want to
+        # just re-use the URL because it might have other items in the fragment
+        # and we don't care about those.
+        key_parts = {"url": link.url_without_fragment}
+        if link.hash_name is not None and link.hash is not None:
+            key_parts[link.hash_name] = link.hash
+        if link.subdirectory_fragment:
+            key_parts["subdirectory"] = link.subdirectory_fragment
+
+        # Include interpreter name, major and minor version in cache key
+        # to cope with ill-behaved sdists that build a different wheel
+        # depending on the python version their setup.py is being run on,
+        # and don't encode the difference in compatibility tags.
+        # https://github.com/pypa/pip/issues/7296
+        key_parts["interpreter_name"] = interpreter_name()
+        key_parts["interpreter_version"] = interpreter_version()
+
+        # Encode our key url with sha224, we'll use this because it has similar
+        # security properties to sha256, but with a shorter total output (and
+        # thus less secure). However the differences don't make a lot of
+        # difference for our use case here.
+        hashed = _hash_dict(key_parts)
+
+        # We want to nest the directories some to prevent having a ton of top
+        # level directories where we might run out of sub directories on some
+        # FS.
+        parts = [hashed[:2], hashed[2:4], hashed[4:6], hashed[6:]]
+
+        return parts
+
+    def _get_candidates(self, link: Link, canonical_package_name: str) -> List[Any]:
+        can_not_cache = not self.cache_dir or not canonical_package_name or not link
+        if can_not_cache:
+            return []
+
+        candidates = []
+        path = self.get_path_for_link(link)
+        if os.path.isdir(path):
+            for candidate in os.listdir(path):
+                candidates.append((candidate, path))
+        return candidates
+
+    def get_path_for_link(self, link: Link) -> str:
+        """Return a directory to store cached items in for link."""
+        raise NotImplementedError()
+
+    def get(
+        self,
+        link: Link,
+        package_name: Optional[str],
+        supported_tags: List[Tag],
+    ) -> Link:
+        """Returns a link to a cached item if it exists, otherwise returns the
+        passed link.
+        """
+        raise NotImplementedError()
+
+
+class SimpleWheelCache(Cache):
+    """A cache of wheels for future installs."""
+
+    def __init__(self, cache_dir: str) -> None:
+        super().__init__(cache_dir)
+
+    def get_path_for_link(self, link: Link) -> str:
+        """Return a directory to store cached wheels for link
+
+        Because there are M wheels for any one sdist, we provide a directory
+        to cache them in, and then consult that directory when looking up
+        cache hits.
+
+        We only insert things into the cache if they have plausible version
+        numbers, so that we don't contaminate the cache with things that were
+        not unique. E.g. ./package might have dozens of installs done for it
+        and build a version of 0.0...and if we built and cached a wheel, we'd
+        end up using the same wheel even if the source has been edited.
+
+        :param link: The link of the sdist for which this will cache wheels.
+        """
+        parts = self._get_cache_path_parts(link)
+        assert self.cache_dir
+        # Store wheels within the root cache_dir
+        return os.path.join(self.cache_dir, "wheels", *parts)
+
+    def get(
+        self,
+        link: Link,
+        package_name: Optional[str],
+        supported_tags: List[Tag],
+    ) -> Link:
+        candidates = []
+
+        if not package_name:
+            return link
+
+        canonical_package_name = canonicalize_name(package_name)
+        for wheel_name, wheel_dir in self._get_candidates(link, canonical_package_name):
+            try:
+                wheel = Wheel(wheel_name)
+            except InvalidWheelFilename:
+                continue
+            if canonicalize_name(wheel.name) != canonical_package_name:
+                logger.debug(
+                    "Ignoring cached wheel %s for %s as it "
+                    "does not match the expected distribution name %s.",
+                    wheel_name,
+                    link,
+                    package_name,
+                )
+                continue
+            if not wheel.supported(supported_tags):
+                # Built for a different python/arch/etc
+                continue
+            candidates.append(
+                (
+                    wheel.support_index_min(supported_tags),
+                    wheel_name,
+                    wheel_dir,
+                )
+            )
+
+        if not candidates:
+            return link
+
+        _, wheel_name, wheel_dir = min(candidates)
+        return Link(path_to_url(os.path.join(wheel_dir, wheel_name)))
+
+
+class EphemWheelCache(SimpleWheelCache):
+    """A SimpleWheelCache that creates it's own temporary cache directory"""
+
+    def __init__(self) -> None:
+        self._temp_dir = TempDirectory(
+            kind=tempdir_kinds.EPHEM_WHEEL_CACHE,
+            globally_managed=True,
+        )
+
+        super().__init__(self._temp_dir.path)
+
+
+class CacheEntry:
+    def __init__(
+        self,
+        link: Link,
+        persistent: bool,
+    ):
+        self.link = link
+        self.persistent = persistent
+        self.origin: Optional[DirectUrl] = None
+        origin_direct_url_path = Path(self.link.file_path).parent / ORIGIN_JSON_NAME
+        if origin_direct_url_path.exists():
+            try:
+                self.origin = DirectUrl.from_json(
+                    origin_direct_url_path.read_text(encoding="utf-8")
+                )
+            except Exception as e:
+                logger.warning(
+                    "Ignoring invalid cache entry origin file %s for %s (%s)",
+                    origin_direct_url_path,
+                    link.filename,
+                    e,
+                )
+
+
+class WheelCache(Cache):
+    """Wraps EphemWheelCache and SimpleWheelCache into a single Cache
+
+    This Cache allows for gracefully degradation, using the ephem wheel cache
+    when a certain link is not found in the simple wheel cache first.
+    """
+
+    def __init__(self, cache_dir: str) -> None:
+        super().__init__(cache_dir)
+        self._wheel_cache = SimpleWheelCache(cache_dir)
+        self._ephem_cache = EphemWheelCache()
+
+    def get_path_for_link(self, link: Link) -> str:
+        return self._wheel_cache.get_path_for_link(link)
+
+    def get_ephem_path_for_link(self, link: Link) -> str:
+        return self._ephem_cache.get_path_for_link(link)
+
+    def get(
+        self,
+        link: Link,
+        package_name: Optional[str],
+        supported_tags: List[Tag],
+    ) -> Link:
+        cache_entry = self.get_cache_entry(link, package_name, supported_tags)
+        if cache_entry is None:
+            return link
+        return cache_entry.link
+
+    def get_cache_entry(
+        self,
+        link: Link,
+        package_name: Optional[str],
+        supported_tags: List[Tag],
+    ) -> Optional[CacheEntry]:
+        """Returns a CacheEntry with a link to a cached item if it exists or
+        None. The cache entry indicates if the item was found in the persistent
+        or ephemeral cache.
+        """
+        retval = self._wheel_cache.get(
+            link=link,
+            package_name=package_name,
+            supported_tags=supported_tags,
+        )
+        if retval is not link:
+            return CacheEntry(retval, persistent=True)
+
+        retval = self._ephem_cache.get(
+            link=link,
+            package_name=package_name,
+            supported_tags=supported_tags,
+        )
+        if retval is not link:
+            return CacheEntry(retval, persistent=False)
+
+        return None
+
+    @staticmethod
+    def record_download_origin(cache_dir: str, download_info: DirectUrl) -> None:
+        origin_path = Path(cache_dir) / ORIGIN_JSON_NAME
+        if origin_path.exists():
+            try:
+                origin = DirectUrl.from_json(origin_path.read_text(encoding="utf-8"))
+            except Exception as e:
+                logger.warning(
+                    "Could not read origin file %s in cache entry (%s). "
+                    "Will attempt to overwrite it.",
+                    origin_path,
+                    e,
+                )
+            else:
+                # TODO: use DirectUrl.equivalent when
+                # https://github.com/pypa/pip/pull/10564 is merged.
+                if origin.url != download_info.url:
+                    logger.warning(
+                        "Origin URL %s in cache entry %s does not match download URL "
+                        "%s. This is likely a pip bug or a cache corruption issue. "
+                        "Will overwrite it with the new value.",
+                        origin.url,
+                        cache_dir,
+                        download_info.url,
+                    )
+        origin_path.write_text(download_info.to_json(), encoding="utf-8")

env/Lib/site-packages/pip/_internal/cli/__init__.py

@@ -0,0 +1,4 @@
+"""Subpackage containing all of pip's command line interface related code
+"""
+
+# This file intentionally does not import submodules